The SWCNH_Dataverse_readme.txt file was generated on 2022-05-03 by Bart R. Johnson and Cody Evers

GENERAL INFORMATION

1. Title of Dataverse: SWCNH Dataverse

2. Author Information
	A. Principal Investigator Contact Information
		Name: Bart R. Johnson
		Institution: University of Oregon
		Address: Dept. of Landscape Architecture
		Email: bartj@uoregon.edu

	B. Associate or Co-investigator Contact Information
		Name: John P. Bolte
		Institution: Oregon State University
		Address: Dept. of Biological and Ecological Engineering
		Email: john.bolte@oregonstate.edu

	C. Alternate Contact Information
		Name: Cody Evers
		Institution: Portland State University
		Address: Dept. of Environmental Science and Management
		Email:  cevers@pdx.edu

3. Dates of model output production: 2011-02-01 to 2011-02-28

4. Geographic location of study area: 81 km2 study area outside of the Eugene-Springfield metropolitan area, Oregon, USA

5. Information about funding sources that supported model development and output production:

This material is based upon work supported by the National Science Foundation under Grants No. 0816475 and 0816228 with added support from the USDA Forest Service Western Wildland Environmental Threat Assessment Center (WWETAC).

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC-0 (public domain). Citation requested. 

2. Links to publications that cite or use the data: 
Hulse, D., A. Branscomb, C. Enright, B. Johnson, C. Evers J. Bolte and A. Ager. 2016. Anticipating Surprise: using agent-based alternative futures simulation modeling to identify and map surprising fires in the Willamette Valley, Oregon U.S.A. Landscape and Urban Planning. http://dx.doi.org/10.1016/j.landurbplan.2016.05.012.

Johnson, B.R.; Ager, A.A.; Evers, C.R.; Hulse, D.W.; Nielsen-Pincus, M.; Sheehan, T.J.; Bolte, J.P. Exploring and Testing Wildfire Risk Decision-Making in the Face of Deep Uncertainty. Fire 2023, 6, x. https://doi.org/10.3390/xxxxx

3. Link to other publicly accessible locations of the data: 
http://envision.bee.oregonstate.edu/StudyAreas/SouthernWillamette/ScenarioResults/ScenarioResults.htm 

4. Links/relationships to ancillary data sets: none

5. Was data derived from another source? no 

6. Recommended citation for this dataset: 
Johnson, Bart R. John P. Bolte, David W. Hulse, Robert Ribe, Max Nielsen-Pincus and Cody R. Evers. 2011. South Willamette Envision Coupled Natural-Human Systems Simulation Model. Eugene, OR: University of Oregon. 

USING THIS REPOSITORY

1. SWCNH Dataverse Content and Organization

This repository contains the programs, code and output data for the SWCNH (South Willamette CNH) Envision collaborative research project conducted by the authors and other team members (see Acknowledgements). It includes:

1.0 SWCNH Dataverse ReadMe files
Comprised of an overarching readme file for the SWCNH Dataverse, and individual readmes describing the specific data and outputs used for each published paper citing this repository.

1.1 Envision Installation package  
The SWCNH Envision model requires a 64-bit Windows-based PC Environment and was run on Windows 7 and 8. The installation package includes three files: 
	1) The Envision Program: Setup-x64.msi 
	2) The Eugene study area files: EugeneInputs.msi 
	3) The GIS coverage for the Eugene study area: EugeneIDUs.msi

1.2 SWCNH Envision installation and use tutorials 
This package contains installation instructions and user tutorials developed over a series of courses taught by Bart Johnson and Gwynne Mhuireach to University of Oregon students from 2011-2013, including Landscape Architecture Design and Planning studios, and climate adaptation courses. 

1.3 Envision Fire Generator
This package contains the R script and supporting data files used to generate replicate fire lists for each scenario and run. See internal readme and appendix for more details on the methods used to generate and calibrate fire lists.

1.4 SWCNH Envision Dataset
This data set includes the totality of simulation output files produced from 600 canonical simulation runs of the South Willamette CNH (SWCNH) Envision system. The 600 alternative futures comprise 50 replicate runs of each of 12 scenarios. The 12 scenarios were created by fully crossing a set of three scenario dimensions with selected contrasts for each dimension: climate (2) x development (2) x management (3).

1.5 Current Envision Code is available on GitHub: 	https://github.com/boltej/Envision 

ACKNOWLEDGEMENTS

This research project and its coupled modeling system development was a collaborative effort of more than 25 researchers and students from the University of Oregon (UO), Oregon State University (OSU), and the USDA Forest Service. Bart Johnson (UO) and John Bolte (OSU) served as Principal Investigators for the US NSF-funded, multi-university collaboration �CNH: Collab Research: The Interactions of Climate Change, Land-Management Policies, and Forest Succession on Fire Hazard and Ecosystem Trajectories in the Wildland-Urban Interface�. Co-PIs included David Hulse, Robert Ribe and Scott Bridgham (UO), and Ronald Neilson (OSU). Senior researchers included Alan Ager, Jane Kertis, Constance Harrington, Dominique Bachelet, Allan Branscomb, Chris Enright, Peter Gould, Max Nielsen-Pincus, James Lenihan, James Merzenich, and Alison Reger. Graduate students included Gabriel Yospin, Tim Sheehan, David Conklin, Nathan Ulrich, Cody Evers, Gwynne Mhuireach and Wu Hong. Fire Behavior calculations were produced with models developed by the Missoula Fire Sciences Laboratory, Missoula, MT. Stu Brittain modified the fire behavior code library for Envision�s wildfire submodel. Michelle Day built the fire generator system and generated fire lists. Haiganoush Preisler assisted with the algorithms for fire-climate relationships. James Sulzman implemented most Envision code.
